Power-efficient wireless sensor for physiological signal acquisition

被引:15
作者
Chang, Chia-Lin [1 ]
Chang, Chih-Wei [2 ]
Hsu, Chen-Ming [1 ]
Luo, Ching-Hsing [1 ]
Chiou, Jin-Chern [2 ]
机构
[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 701, Taiwan
[2] Natl Chiao Tung Univ, Dept Elect & Control Engn, Hsinchu 300, Taiwan
来源
JOURNAL OF MICRO-NANOLITHOGRAPHY MEMS AND MOEMS | 2009年 / 8卷 / 02期
关键词
MEMS sensor; biotelemetry; signal processing; power-efficient; SYSTEM; CHIP;
D O I
10.1117/1.3124190
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work presents a power-efficient wireless sensor implemented using microelectromechanical system (MEMS)-based dry electrodes (MDE) and a ZigBee protocol chip for physiological signal acquisition. To improve signal quality with low electrode-skin interface impedance, a silicon-based MDE is fabricated via micromachining technology. The proposed wireless sensor can provide four different channels for up to 10 kHz bandwidth, 10-bit resolution biomedical signal transmissions. Different from other systems, the proposed wireless sensor employs a novel power management method for physiological signals to reduce power consumption. The proposed wireless sensor successfully transmits electrocardiogram (ECG) signals and four-channel electroencephalogram (EEG) signals with power consumptions of 92.7 and 56.8 mW respectively. It consumes 46% less power than the original sensor without power management (173 mW) in ECG acquisition and 67% less power in EEG acquisition. The circuit printed-circuit-band area in the proposed wireless sensor is 3.5 x 4.5 cm, suitable for various portable biomedical applications. (C) 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3124190]
引用
收藏
页数:7
相关论文
共 11 条
[1]  
ALESANCO A, 2003, INT C COMPUT BIOENG, V1, P237
[2]  
CARR J.J., 2001, Introduction to biomedical equipment technology
[3]  
CHANG CL, 2008, AS PAC C TRANSD MICR
[4]  
CHIOU JC, 2006, IEEE BIOM CIRC SYST, P33
[5]   Micromachined barbed spikes for mechanical chip attachment [J].
Griss, P ;
Enoksson, P ;
Stemme, G .
SENSORS AND ACTUATORS A-PHYSICAL, 2002, 95 (2-3) :94-99
[6]   Micromachined electrodes for biopotential measurements [J].
Griss, P ;
Enoksson, P ;
Tolvanen-Laakso, HK ;
Meriläinen, P ;
Ollmar, S ;
Stemme, G .
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2001, 10 (01) :10-16
[7]   The 2.4 GHz biotelemetry chip for healthcare monitoring system [J].
Hsu, Chen-Ming ;
Liao, Wei-Yin ;
Luo, Ching-Hsing ;
Chou, Tse-Chuan .
SENSORS AND ACTUATORS A-PHYSICAL, 2007, 139 (1-2) :245-251
[8]   Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system [J].
Istepanian, RSH ;
Petrosian, AA .
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2000, 4 (03) :200-211
[9]   Independent component analysis for biomedical signals [J].
James, CJ ;
Hesse, CW .
PHYSIOLOGICAL MEASUREMENT, 2005, 26 (01) :R15-R39
[10]   Temporally constrained ICA: An application to artifact rejection in electromagnetic brain signal analysis [J].
James, CJ ;
Gibson, OJ .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2003, 50 (09) :1108-1116